This book contains math and pattern recognition concepts that are not for the faint of heart. However, given that you have some background in pattern recognition and computer vision this book is an invaluable resource for face detection and recognition algorithms and technologies.
Chapter one is a fast paced introduction and goes over face recognition processing from the standpoint of analysis in "face subspaces" along with the technical challenges and solutions that are current.
Chapters two through twelve are all about the many algorithms needed for face recognition and the considerations behind them. First the book tackles how to detect human faces within images. Next the issues of modeling face shape and appearance and tracking faces are explored. Examples of tracker implementations are given. The next few chapters deal with varying conditions and face recognition such as illumination modeling and facial skin color. Chapter seven is a lengthy one on face recognition in subspaces which includes the famous eigenfaces, tensorfaces, and fisherfaces methods. Chapter eight deals with the real-world problem of face tracking and recognition from video and how one does the simultaneous tracking and recognition which is necessary when dealing with video. Chapter 9 is about face recognition in the presence of changing pose and illumination. The concepts of and solutions for normalizing for illumination differences and of modeling pose and illumination are presented. Chapters 10 and 11 round out the algorithmic portion of the book and talk about the more advanced topics of morphable models of faces and facial expression analysis. The math here is quite advanced especially on the topic of morphable models. Chapter 12 is a very short chapter about face synthesis, and seems to be a review of the previous ten chapters on face recognition algorithms along with some new material.
Chapter 13 goes on to the much less mathematical topic of face databases.The various databases of face recognition, detection, and expression analysis are listed and discussed. Chapters 14, 15, and 16 are very accessible and can be understood by both practitioners and by managers wishing to investigate the larger less technical issues of face recogniton. These three chapters are about performance evaluation, psychological and neural perspectives, and face recognition applications respectively.
I would highly recommend this book to individuals who are interested in the implementation of facial recognition systems. Even though it is an edited volume written by a variety of specialists in the field, it has the well-composed feel of a book written by a single author and moves smoothly from one topic to another. You will probably need to supplement your reading if you are trying to design an entire system from scratch, but many of the algorithms needed are detailed in this book. Also, there is an outstanding bibliography for further investigation of various subjects. I have found that a good supplement to the facial expression analysis and the MPEG-4 sections of this book is "MPEG-4 Facial Animation: The Standard, Implementation and Applications" by Pandzic & Forchheimer. It goes into great detail on subjects for which there is simply no practical amount of space in this book.